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tiny-mlm-glue-rte-target-glue-mrpc
This model is a fine-tuned version of muhtasham/tiny-mlm-glue-rte on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0186
- Accuracy: 0.7328
- F1: 0.8143
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5841 | 4.35 | 500 | 0.5459 | 0.7279 | 0.8230 |
| 0.4421 | 8.7 | 1000 | 0.5767 | 0.7426 | 0.8309 |
| 0.2968 | 13.04 | 1500 | 0.6520 | 0.7402 | 0.8239 |
| 0.185 | 17.39 | 2000 | 0.7858 | 0.7377 | 0.8231 |
| 0.115 | 21.74 | 2500 | 1.0186 | 0.7328 | 0.8143 |
Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
